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Omnifact is designed to work like a natural conversation, allowing you to communicate with the just as you would with a colleague. Understanding how conversation flow works in Omnifact will help you get the most out of your interactions.

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How Conversation Works in Omnifact

Conversation Flow Example
In Omnifact, conversations follow a natural back-and-forth pattern just like chatting with a knowledgeable colleague. What makes this powerful is that the AI assistant keeps track of your entire conversation history within a chat session, allowing for follow-up questions without needing to repeat information. This natural conversation pattern helps you efficiently navigate from broad questions to specific, actionable information, making even complex topics more accessible and your interactions more productive.

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The Power of Follow-Up Questions

Follow-up questions are key to getting the most out of Omnifact. They allow you to:

Dive Deeper

Start with broad questions, then use follow-ups to explore specific aspects of the topic.

Clarify Information

If the AI’s response isn’t clear or complete, ask follow-up questions to get the information you need.

Build on Responses

Use the AI’s answers as a foundation for your next questions, creating a productive chain of inquiry.

Refine Results

Gradually narrow down broad answers to get precisely what you’re looking for.

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Follow-Up Question Examples

Here are examples of effective follow-up questions in different scenarios:

Example: Marketing Campaign Planning

Initial Question: “Can you help me brainstorm ideas for our summer product campaign?”Effective Follow-ups:
  • “Which of these ideas would work best for our target demographic of young professionals?”
  • “How should we adapt the messaging for social media channels specifically?”
  • “Can you suggest a timeline for implementing the third idea you mentioned?”
Initial Question: “Can you summarize the key points from the quarterly report I just attached?”Effective Follow-ups:
  • “What are the most significant changes compared to last quarter?”
  • “Can you explain more about the customer retention statistics you mentioned?”
  • “What recommendations would you make based on these findings?”
Initial Question: “Can you explain what ‘data normalization’ means in database management?”Effective Follow-ups:
  • “What are the benefits of normalizing data?”
  • “Can you give me a simple example of how to normalize a database?”
  • “What are the potential downsides of over-normalizing?”

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Tips for Effective Conversations

Be Specific

The more specific your questions, the more relevant Omnifact’s answers will be.

One Topic Per Chat

For optimal results, start a new chat when switching to a different topic.

Try Different Approaches

If a response isn’t helpful, ask Omnifact to “explain it differently” or “try another approach.”
Remember that follow-up questions work best when they’re related to the current conversation. For completely new topics, starting a fresh chat will give you better results.

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Next Steps

Now that you understand how conversation flow works in Omnifact, you can:
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